Simulation optimization of an inventory control model for a reverse logistics system

Nowadays, companies are recognizing their primordial roles and responsibilities towards the protection of the environment and save the natural resources. They are focusing on some contemporary activities such as Reverse Logistics which is economically and environmentally viable. However, th...

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Autores principales:	Hanane Rachih, Fatima Zahra Mhada, Raddouane Chiheb
Formato:	article
Lenguaje:	EN
Publicado:	Growing Science 2022
Materias:	Analysis QA299.6-433 Business mathematics. Commercial arithmetic. Including tables, etc. HF5691-5716
Acceso en línea:	https://doaj.org/article/0f33d68dc38c4624a83d4f5820ad1912
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spelling	oai:doaj.org-article:0f33d68dc38c4624a83d4f5820ad19122021-11-12T06:26:20ZSimulation optimization of an inventory control model for a reverse logistics system1929-58041929-581210.5267/j.dsl.2021.9.001https://doaj.org/article/0f33d68dc38c4624a83d4f5820ad19122022-01-01T00:00:00Zhttp://www.growingscience.com/dsl/Vol11/dsl_2021_33.pdfhttps://doaj.org/toc/1929-5804https://doaj.org/toc/1929-5812 Nowadays, companies are recognizing their primordial roles and responsibilities towards the protection of the environment and save the natural resources. They are focusing on some contemporary activities such as Reverse Logistics which is economically and environmentally viable. However, the integration of such an initiative needs flows restructuring and supply chain management in order to increase sustainability and maximize profits. Under this background, this paper addresses an inventory control model for a reverse logistics system that deals with two separated types of demand, for new products and remanufactured products, with different selling prices. The model consists of a single shared machine between production and remanufacturing operations, while the machine is subject to random failures and repairs. Three stock points respectively for returns, new products and remanufactured products are investigated. Meanwhile, in this paper, a modeling of the problem with Discrete-Event simulation using Arena® was conducted. Regarding the purpose of finding, a near-optimal inventory control policy that minimizes the total cost, an optimization of the model based on Tabu Search and Genetic Algorithms was established. Computational examples and sensitivity analysis were performed in order to compare the results and the robustness of each proposed algorithm. Then the results of the two methods were compared with those of OptQuest® optimization tool.Hanane RachihFatima Zahra MhadaRaddouane ChihebGrowing SciencearticleAnalysisQA299.6-433Business mathematics. Commercial arithmetic. Including tables, etc.HF5691-5716ENDecision Science Letters, Vol 11, Iss 1, Pp 43-54 (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	Analysis QA299.6-433 Business mathematics. Commercial arithmetic. Including tables, etc. HF5691-5716
spellingShingle	Analysis QA299.6-433 Business mathematics. Commercial arithmetic. Including tables, etc. HF5691-5716 Hanane Rachih Fatima Zahra Mhada Raddouane Chiheb Simulation optimization of an inventory control model for a reverse logistics system
description	Nowadays, companies are recognizing their primordial roles and responsibilities towards the protection of the environment and save the natural resources. They are focusing on some contemporary activities such as Reverse Logistics which is economically and environmentally viable. However, the integration of such an initiative needs flows restructuring and supply chain management in order to increase sustainability and maximize profits. Under this background, this paper addresses an inventory control model for a reverse logistics system that deals with two separated types of demand, for new products and remanufactured products, with different selling prices. The model consists of a single shared machine between production and remanufacturing operations, while the machine is subject to random failures and repairs. Three stock points respectively for returns, new products and remanufactured products are investigated. Meanwhile, in this paper, a modeling of the problem with Discrete-Event simulation using Arena® was conducted. Regarding the purpose of finding, a near-optimal inventory control policy that minimizes the total cost, an optimization of the model based on Tabu Search and Genetic Algorithms was established. Computational examples and sensitivity analysis were performed in order to compare the results and the robustness of each proposed algorithm. Then the results of the two methods were compared with those of OptQuest® optimization tool.
format	article
author	Hanane Rachih Fatima Zahra Mhada Raddouane Chiheb
author_facet	Hanane Rachih Fatima Zahra Mhada Raddouane Chiheb
author_sort	Hanane Rachih
title	Simulation optimization of an inventory control model for a reverse logistics system
title_short	Simulation optimization of an inventory control model for a reverse logistics system
title_full	Simulation optimization of an inventory control model for a reverse logistics system
title_fullStr	Simulation optimization of an inventory control model for a reverse logistics system
title_full_unstemmed	Simulation optimization of an inventory control model for a reverse logistics system
title_sort	simulation optimization of an inventory control model for a reverse logistics system
publisher	Growing Science
publishDate	2022
url	https://doaj.org/article/0f33d68dc38c4624a83d4f5820ad1912
work_keys_str_mv	AT hananerachih simulationoptimizationofaninventorycontrolmodelforareverselogisticssystem AT fatimazahramhada simulationoptimizationofaninventorycontrolmodelforareverselogisticssystem AT raddouanechiheb simulationoptimizationofaninventorycontrolmodelforareverselogisticssystem
_version_	1718431150814265344

Simulation optimization of an inventory control model for a reverse logistics system

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